
from typing import Union

import fire
import torch
from tqdm import tqdm




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     str		,    _lowerCamelCase					:     str = "cpu"		,    _lowerCamelCase					:     Union[str, None] = None)   ->       None:






							'''simple docstring'''





							__UpperCamelCase      :  int       =   torch.load(_lowerCamelCase		,    map_location=_lowerCamelCase)
							for k, v in tqdm(state_dict.items()):
														if not isinstance(_lowerCamelCase		,    torch.Tensor):
																					raise TypeError("FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin")
														__UpperCamelCase      :  Tuple       =   v.half()
							if save_path is None:  # overwrite src_path
														__UpperCamelCase      :  str       =   src_path
							torch.save(_lowerCamelCase		,    _lowerCamelCase)


if __name__ == "__main__":
		fire.Fire(convert)

"""simple docstring"""






from collections import namedtuple

UpperCAmelCase        =				namedtuple("""from_to""", """from_ to""")

UpperCAmelCase        =				{
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.001, 1_0_0_0),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.00_454, 264.172),
    """cubicyard""": from_to(0.76_455, 1.30_795),
    """cubicfoot""": from_to(0.028, 35.3_147),
    """cup""": from_to(0.000_236_588, 4_226.75),
}




def __magic_name__	(				_lowerCamelCase:		float,					_lowerCamelCase:		str,					_lowerCamelCase:		str			)					->						float:

	'''simple docstring'''




	if from_type not in METRIC_CONVERSION:
		raise ValueError(
		    F"""Invalid 'from_type' value: {from_type!r}  Supported values are:\n"""
		    + ''', '''.join(_lowerCamelCase			)			)
	if to_type not in METRIC_CONVERSION:
		raise ValueError(
		    F"""Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"""
		    + ''', '''.join(_lowerCamelCase			)			)
	return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
					import doctest

					doctest.testmod()


